Sentence examples for models for statistical from inspiring English sources

Owing to the success of deep learning techniques in automatic speech recognition, deep neural networks (DNNs) have been used as acoustic models for statistical parametric speech synthesis (SPSS).

In our previous work [11 13], we divide the HRRP into frames according to the aspect-sectors without most scatterers' motion through resolution cells (MTRC), and use distinct parametric models for statistical characterization of each HRRP frame, which are referred to as the aspect-frames and corresponding single-task learning (STL) models in our articles.

We used generalized mixed-effects models for statistical analysis.

To simplify the models for statistical analysis, the four care areas were collapsed into two groups.

Some CRTs used mixed effects models for statistical analysis, but fixed-effects for clusters in imputation [ 25- 28].

We used linear mixed models for statistical analyses (questionnaires: STATA 9.0, StataCorp, College Station, TX, USA; cognitive tasks: SAS version 8.2; SAS Institute Inc., Cary, NC, USA).

Starting from the very elementary example of histograms we present a general notion of finite dimensional model for statistical estimation and we explain what type of risk bounds can be expected from the use of one such model.

Various interaction terms were tested in the multivariable model for statistical significance.

The best fitted model for statistical analysis was considered significant when P value <0.05.

The Markov model for statistical analysis of the cost effectiveness was programmed in Microsoft Excel (Microsoft, Redmond, WA, USA).

Survival was calculated by Kaplan Meier estimate, using log-rank test and Cox regression model for statistical analysis.